Selected Intern's Day-to-day Responsibilities Include Identify potential customer segments and industries Assist in building and updating lead databases Help prepare sales decks, email templates, and promotional material Update customer interactions and campaign responses in CRM tools (like HubSpot, Salesforce) Monitor campaign performance metrics (open rates, click rates, conversions) Schedule meetings, take notes, and follow up on action items Respond to basic inquiries from prospects Help qualify leads before passing to the sales team About Company: Founded in 2020, Network Science is dedicated to bringing deep tech (AI, ML, robotics, IoT, blockchain, AR, VR) to the world and to leaving the world better than we found it. We seek collaboration with global enterprises to co-create and solve world challenges through 'DeepTech Innovation'. Domains that we are focused on are fintech, industry, cybersecurity, cloud, and sales tech. Show more Show less
Data Scientist – Deep Learning (Financial Services Domain) We are seeking a highly skilled and motivated Data Scientist with a strong background in deep learning and quantitative analysis to join our advanced AI team. This role is ideal for professionals who are passionate about applying cutting-edge machine learning techniques to solve complex problems in the financial services domain. Key Responsibilities: Design, implement, and deploy deep learning models for financial use cases, including stock price prediction, risk scoring, and algorithmic trading. Optimize models for performance and scalability through techniques such as quantization, pruning, and efficient architecture design. Rigorously evaluate models using appropriate metrics, validation techniques, and hyperparameter tuning, while maintaining robust experiment tracking practices. Deploy and maintain machine learning workflows using MLOps best practices on cloud platforms (AWS preferred). Conduct exploratory data analysis (EDA), feature engineering, and time-series analysis on structured and unstructured financial datasets. Apply advanced pattern recognition techniques to derive insights and predictive signals from data. Stay abreast of the latest research in deep learning, including advancements in LLMs, attention mechanisms, and financial NLP. Collaborate with cross-functional teams, including quantitative analysts, fellow data scientists, and product managers, to translate business requirements into technical solutions. Ensure high-quality code, documentation, and backtesting processes. Required Qualifications: Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related discipline from a reputed institute (IITs or BITS preferred). 5-7 years of experience in developing and deploying deep learning or AI models, ideally within the financial services industry. Hands-on experience with PyTorch or TensorFlow , and Python data libraries such as pandas, NumPy, and scikit-learn . Strong background in predictive modeling, anomaly detection, and pattern recognition using financial data. Proficient in Python or PySpark for large-scale data processing. Ability to work with diverse financial datasets, including stock prices, order books, financial statements, and alternative data sources. Preferred Qualifications: Experience with cloud platforms (AWS, GCP, or Azure) for model training, deployment, and scaling. Familiarity with ML pipelines, Docker, and modern MLOps frameworks. Exposure to Natural Language Processing in finance (e.g., sentiment analysis, earnings call transcripts). Working knowledge of core financial concepts such as P&L, return metrics, technical indicators, and risk measurement.
About the job: We are seeking a proactive and results-driven Hardware Sales Executive to drive sales of B2B wearbles, AI enabled devices and related products. The role involves identifying new business opportunities, managing client relationships, and delivering products to meet customer needs. Key Responsibilities: 1. Identify and engage prospective customers through calls, field visits, and networking. 2. Understand client requirements and recommend suitable hardware solutions. 3. Develop and maintain relationships with key clients, partners, and vendors. 4. Prepare and deliver sales presentations, quotations, and product demos. 5. Negotiate contracts and close sales deals to achieve monthly/quarterly targets. 6. Stay updated on new hardware technologies and market trends. 7. Maintain accurate sales records and provide regular reports to management. 8. Collaborate with technical and support teams to ensure smooth delivery and post-sales service. Qualifications & Skills: 1. Bachelor's degree in Business, IT, Engineering, or related field. 2. 1+ years of experience in B2B hardware sales. 3. Excellent communication, negotiation, and interpersonal skills. 4. Proven ability to meet and exceed sales targets. 5. Proficiency in MS Office and CRM software. Who can apply: Only those candidates can apply who: have minimum 1 years of experience are from Mumbai only Salary: ₹ 4,50,000 - 5,20,000 /year Experience: 1 year(s) Deadline: 2025-08-29 23:59:59 Other perks: 5 days a week, Health Insurance Skills required: MS-PowerPoint, B2B Sales and English Proficiency (Spoken) About Company: Founded in 2020, Network Science is dedicated to bringing deep tech (AI, ML, robotics, IoT, blockchain, AR, VR) to the world and to leaving the world better than we found it. We seek collaboration with global enterprises to co-create and solve world challenges through 'DeepTech Innovation'. Domains that we are focused on are fintech, industry, cybersecurity, cloud, and sales tech.
What are we looking for? As an Events Coordinator, you will play a key role in planning, organizing, and executing a variety of events, ranging from corporate meetings and conferences to social gatherings. Your responsibilities will include coordinating logistical details, liaising with vendors, managing timelines, and ensuring a seamless and successful event experience. Hunger to learn, perform & contribute, Smart in approach, great communication skills, doesn’t hesitate to speak up his / her mind, will not be “yes sir”, acts with speed and very quality conscious. Responsibilities Event Planning: Collaborate with clients or internal stakeholders to understand event objectives, themes, and requirements. Develop comprehensive event plans, including budgets, timelines, and logistics. Logistics Coordination Arrange and coordinate event logistics such as venue selection, catering, audiovisual equipment, transportation, and accommodation. Ensure all necessary permits and approvals are obtained. Vendor Management Identify, negotiate with, and manage relationships with vendors, suppliers, and contractors. Obtain quotes and make decisions based on cost-effectiveness and quality. Communication And Coordination Serve as the main point of contact for clients, vendors, and internal teams. Communicate effectively to ensure everyone involved is informed and aligned on event details. Timeline Management Create and manage detailed timelines to ensure all aspects of the event are executed seamlessly. Anticipate and address potential issues or challenges. On-Site Coordination Oversee the setup, execution, and breakdown of events. Manage on-site staff, volunteers, and vendors to ensure everything runs smoothly. Budget Management Develop and adhere to event budgets. Track expenses and provide regular financial updates. Post-Event Evaluation Conduct post-event evaluations to assess the success of the event. Gather feedback from clients, attendees, and stakeholders for continuous improvement. About Company: Founded in 2020, Network Science is dedicated to bringing deep tech (AI, ML, robotics, IoT, blockchain, AR, VR) to the world and to leaving the world better than we found it. We seek collaboration with global enterprises to co-create and solve world challenges through 'DeepTech Innovation'. Domains that we are focused on are fintech, industry, cybersecurity, cloud, and sales tech.
You are a highly skilled Senior Dell Boomi Integration Specialist responsible for leading the design, development, and maintenance of robust integration solutions across cloud, on-premise, and hybrid environments. Your role includes extensive experience in Dell Boomi AtomSphere, EDI integrations, API Management, and Master Data Hub (MDH), with hands-on expertise in deployment, monitoring, and process optimization. Your key responsibilities involve designing, developing, and deploying end-to-end integration processes, leading B2B/EDI integration projects, managing environments and deployments, configuring API Management solutions, building data mappings and transformations, establishing monitoring and alerting systems, ensuring data governance and compliance, collaborating with cross-functional teams, and providing support and maintenance. Your qualifications should include 8-10 years of overall experience with at least 6-7 years in Dell Boomi integration, Dell Boomi Professional Developer/API Management/EDI certifications, proven ability to handle large-scale integration projects, strong analytical and problem-solving skills, and client-facing expertise. Experience integrating Salesforce and SAP platforms using Dell Boomi is essential for this role. Your required skills and expertise encompass Dell Boomi AtomSphere, MDH, and API Management, B2B/EDI Integration, Environment and Deployment Management, Security & Access Management, Monitoring & Logging, Scheduling & Queuing, Data Governance & Compliance, REST/SOAP APIs, JSON, XML, SQL, and cloud/on-premise integration. Additionally, scripting experience in JavaScript, Groovy, or Python for custom Boomi functions is beneficial.,
Full Stack Developer – AI Product Team 📍 Location: Mumbai | Onsite/Hybrid 🕒 Type: Full-time | Fresh Talent Welcome About Network Science We’re not just building software. We’re building the Operating System for the Enterprise AI World . At Network Science , we are on a mission to help the world’s leading enterprises adopt and scale AI — across every business function. With a growing presence in London, Mumbai, Dubai, and the US, we’re bringing real AI into production for clients who aren’t here to experiment — they’re here to win. We’re looking for a Full Stack Developer who wants to move fast, learn faster, and code like the world depends on it. If you're fresh, fierce, and ready to hustle , this is your shot. What You’ll Do Build the next-gen productivity suite for AI-first enterprises (NS Office) Work across the stack — frontend (React/Next.js), backend (Node.js, Python), databases (MongoDB, PostgreSQL), and cloud deployment (AWS, GCP) Integrate OpenAI and other LLM APIs into real-world products Collaborate with product thinkers, designers, and AI scientists to ship fast, test hard, and iterate even faster Write clean, scalable code and own your builds all the way to production Break things. Fix them. Learn. Repeat. Pull late nights with purpose — because you're building something that matters You’re a Great Fit If You... Have built side projects, apps, or tools that you’re proud of Know your way around JavaScript, Python, HTML/CSS, Git , and at least one modern frontend framework (React, Vue, etc.) Have played with or integrated AI/ML APIs (OpenAI, Hugging Face, etc.) Love startups, thrive under chaos, and hate sitting idle Want to be part of something bigger than just writing code Bonus Points Experience with Docker, CI/CD, or Firebase You've shipped something (public or internal) people actually use You’ve worked with LLMs or GenAI before You’ve contributed to open source or written about your learnings online Why This Role is Different You’ll ship real product , not PowerPoint decks You’ll be part of the founding build team of NS Office — the AI workspace for enterprises You’ll learn more in 1 year than most do in 3 You’ll work directly with founders, engineers, and product heads You’ll have the runway to grow into anything — lead engineer, product owner, AI architect Don’t Apply If… You want a 9-to-5 You need step-by-step instructions You’re afraid of being uncomfortable
You are a dynamic Presales and Solutioning Associate in the AI space, responsible for bridging the gap between sales teams, tech teams, and clients. Your role is crucial in ensuring the smooth integration of AI solutions into client operations, directly contributing to growth and market expansion strategies. In the role of Presales Support, you collaborate with sales teams to understand client requirements and develop tailored AI solutions. You assist in creating compelling proposals, presentations, and demos that highlight the value of our AI solutions to potential clients. Regarding Tech Solutioning, you work closely with partner tech teams to translate client needs into actionable technical requirements and solution designs. You ensure alignment between client expectations and our technical capabilities throughout the solutioning process. As the primary point of contact for clients during presales activities, you address queries, provide technical insights, and build strong relationships to understand their evolving needs and feedback on our solutions. You also contribute to the development and execution of strategic initiatives aimed at expanding our AI solution accelerators. This includes conducting market research, competitive analysis, and identifying growth opportunities and industry trends. Your collaboration and team support skills are essential as you liaise with internal teams like sales, product development, and marketing to ensure coordinated efforts in delivering solutions. You provide support across various functions to achieve collective goals, enhance operational efficiency, and share the latest AI tech trends with the larger team. To qualify for this role, you need a Bachelor's degree in computer science, engineering, or a related field, along with a Post Graduation in Business Administration. You should have a strong understanding of AI technologies, their applications, and market trends. Excellent communication skills, the ability to work under pressure, adaptability, and proficiency in office software and communication tools are necessary. Being a team player with a proactive mindset, a commitment to quality, exceptional organizational and time-management skills are vital for success in this role.,
Job Title: Full Stack Developer – AI Product Engineering Location: Mumbai Full-time | Fresh Talent Welcome | Hustle Required About Network Science At Network Science, we’re not building features — we’re building the future. We’re the company behind the Operating System for the Enterprise AI World — helping the world's top businesses adopt and scale AI across every function, product, and decision. We’re working on a portfolio of AI products — from productivity tools and agent copilots to intelligent platforms that solve complex business problems at scale. As a Full Stack Developer, you’ll be part of the founding build team — and your first mission will be to work on a groundbreaking AI-powered application that blends real-time data processing, intuitive UX, and seamless AI integration. This is just Project 1 of many. You’ll be trusted to take on end-to-end responsibility across multiple builds. What You’ll Do Build full-stack AI-driven products — both internal and customer-facing Work closely with Product Managers, Designers, and AI Scientists to translate ideas into fast, functional, beautiful applications Build intuitive frontends with React.js / Next.js Develop secure and scalable backend systems with Node.js / Express (or Django/FastAPI) Integrate AI/ML APIs (OpenAI, Whisper, Google Translate, Coqui, etc.) for core platform features Contribute to API design, database architecture, and system scaling strategies Deploy applications to cloud platforms using modern DevOps practices Iterate rapidly, fix bugs proactively, and own your builds end-to-end Your Toolkit (Must-Have Skills) Frontend: HTML, CSS, JavaScript — strong fundamentals React.js or Next.js State management using Redux or Context API Basic UX/UI sensibility for building intuitive user-facing interfaces Backend: Node.js + Express (or Django / FastAPI) REST / GraphQL APIs Auth systems with JWT / OAuth Databases & Storage: PostgreSQL / MySQL / MongoDB AWS S3 or GCP Cloud Storage File management and user-session data persistence AI/ML Integration: Experience integrating AI APIs: OpenAI, Whisper, Google Translate, Coqui TTS, PaddleOCR, etc. Ability to work with ML outputs and feed them into usable features (text/audio/image) DevOps & Infra: Git / GitHub Deploying to Vercel, Netlify, Heroku, Render, AWS, or GCP Docker for containerizing services CI/CD pipelines Performance & Scaling: Redis / Celery / RabbitMQ for task queues Caching, job orchestration, and cloud GPU usage (bonus) You’re Perfect for This If You... Have a builder mindset — you care about what’s being built, not just what you’re told Are ready to put in long hours to learn, ship, fail, and win Have built cool stuff on your own (projects, hackathons, side gigs — all count) Can own end-to-end features and keep iterating until they work beautifully Want to be part of a mission-first, fast-paced company creating real impact with AI Bonus Points For Experience in AI/ML projects — especially around GenAI or LLMs Building or contributing to production-scale platforms Understanding video, image, or audio processing pipelines Clear documentation habits and team-first attitude Final Word This isn’t a code-monkey role. This is your chance to be the engineer who ships products that change how people work, learn, and communicate with AI. You’ll be thrown into ambiguity. You’ll build fast. You’ll break things. But you’ll also be part of something unforgettable.
Network Science seeks exceptional Copilot experts serving as internal wizards who bridge technology and business needs. You'll empower teams across the organization to leverage M365 Copilot, (help) build custom agents, and rapidly prototype AI solutions that transform how organization works. This is a forward deployed position with our eseetmed client. Technical Skills RequiredCore Technical Competencies · M365 Copilot Mastery - Deep understanding of Copilot capabilities across all M365 apps (Word, Excel, PowerPoint, Teams, Outlook, Loop) · Agent Development - Hands-on experience building Copilot agents, custom GPTs, or similar conversational AI tools · Prompt Engineering - Expert-level ability to craft, optimize, and teach effective prompting strategies · Low-Code/No-Code Platforms - Proficiency in Power Platform (Power Apps, Power Automate, Power Virtual Agents) · API Integration - Understanding of Graph API, connectors, and data integration patterns · AI Fundamentals - Solid grasp of LLMs, RAG systems, semantic search, and AI limitations/best practices · Rapid Prototyping Tools - Experience with Figma, Sketch, or similar for quick mockups and workflows Nice-to-Have Technical Skills · Basic Python/JavaScript for custom solutions · Experience with Azure AI Services · Knowledge of data governance and security in AI contexts · Familiarity with SharePoint/Teams development Soft Skills RequiredEssential Human Skills · Business Acumen - Ability to quickly understand business processes and translate them into technical solutions · Active Listening - Exceptional ability to hear what users really need, not just what they say they want · Teaching & Enablement - Natural educator who can make complex concepts accessible to non-technical users · Collaborative Mindset - Thrives in pair programming/designing sessions; ego-free approach to problem-solving · Communication - Can explain AI concepts to executives and write clear, user-friendly documentation · Curiosity & Learning Agility - Stays current with rapidly evolving AI landscape; experiments constantly · Empathy - Understands user frustration with technology and designs human-centered solutions · Time Management - Can balance multiple projects and know when "good enough" beats perfect Working Style · Comfortable with ambiguity and rapid iteration · Self-starter who can work independently but loves collaboration · Patient with users at all technical levels · Brings positive energy that makes others want to work with them · Can say "no" diplomatically when requests aren't feasible Key Responsibilities Daily Activities · Host "Copilot Clinics" - open office hours for prompt assistance · Conduct discovery sessions with teams to identify AI opportunities · Build proof-of-concepts in 2-3 day sprints with users · Create and maintain prompt libraries and best practices documentation · Train teams on effective Copilot usage and prompt engineering · Develop custom agents for specific departmental needs Strategic Contributions · Identify patterns in user needs to propose platform-wide solutions · Create reusable templates and frameworks · Measure and report on AI adoption and impact metrics · Stay ahead of M365 updates and communicate changes to organization · Build internal community of AI champions Ideal Background Experience Profile · 2-5+ years in roles combining technical and business analysis · Previous experience in innovation labs, digital transformation, or internal consulting · Track record of successful user adoption initiatives · Background could include - Solution Architecture, Business Analysis, Technical Training, Innovation Management, or Product Management Personality Indicators · Gets excited about making others' jobs easier · Naturally experiments with new tools in personal time · Can explain complex topics using simple analogies · Comfortable being the "dumbest person in the room" when learning · Views constraints as creative challenges, not roadblocks Success Metrics · User satisfaction scores from assisted teams · Number of successful prototypes deployed · Adoption rates of created solutions · Time-to-value for new AI implementations · Knowledge transfer effectiveness (users becoming self-sufficient) The ideal candidate doesn't need to check every box but should be excited about growing into areas where they're less experienced. We're looking for learners who can become leaders in AI-powered productivity.
Architect Lead – DevOps & Solutions Architecture Location: Mumbai (Onsite) | Full-time About Us At Network Science , we’re building the Operating System for the Enterprise AI World — a platform-first approach to scale AI adoption across global enterprises. Our cloud-based SaaS platforms power real-world AI deployments across sectors like finance, retail, manufacturing, and sustainability. We are now looking for an Architect Lead (DevOps & Solutions Architecture) to take full ownership of the technical foundation of our AI products — from infrastructure and security to scalability and reliability. This is a mission-critical leadership role at the heart of everything we’re building. What You’ll Do Own the end-to-end architecture of our cloud-based SaaS platform and lead the evolution of its infrastructure with scalability, performance, and security at the core. Be hands-on with AWS , automating infrastructure using Infrastructure-as-Code, ensuring high availability , and optimizing cloud usage and costs. Build and manage CI/CD pipelines , implement best practices for automated testing, versioning, and secure delivery workflows. Partner with engineering, product, and design teams to translate product goals into robust, maintainable, and secure system designs . Lead and implement our security strategy , ensuring compliance with industry standards (SOC2, GDPR, etc.). Set up monitoring, alerting, and disaster recovery plans that ensure platform reliability and business continuity. Mentor engineers on architecture, DevOps, and modern development workflows; help instill a culture of automation, ownership, and quality. Continuously evaluate new tools, technologies, and frameworks to ensure we stay ahead of the curve. Must-Have Skills 7+ years of experience in cloud architecture , DevOps, and SaaS infrastructure — with hands-on AWS experience . Strong command over containerization tools: Docker and Kubernetes . Proficiency with Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation . Solid experience in setting up and maintaining CI/CD pipelines and release workflows. Strong understanding of cloud networking, VPC design, IAM, and core security practices . Prior experience implementing monitoring , alerting , disaster recovery , and backup strategies. Demonstrated ability to make sound architectural decisions under time and scale constraints. Excellent problem-solving and communication skills. Willingness to work onsite and collaborate closely across product and engineering teams. Good-to-Have Skills Experience with cost optimization in AWS Familiarity with SOC2, ISO 27001, or GDPR compliance frameworks Exposure to multi-cloud or hybrid cloud architectures Knowledge of serverless design patterns (e.g., AWS Lambda, Fargate) Experience with observability platforms (e.g., Prometheus, Grafana, Datadog, New Relic) Familiarity with incident management and SRE practices Prior experience in startups or fast-paced product environments Ability to contribute to strategic build-vs-buy decisions Ready to Apply? If you’re someone who thrives in high-ownership, high-impact roles — and if you believe infrastructure is not just a backbone, but a superpower — then we want to hear from you.
Network Science is a London based AI consulting company on a mission to AIfy businesses. We help leading organizations unlock genuine business value through intelligent automation and productivity tools. Our team is made up of hands-on problem solvers who take pride in ownership, curiosity, and teamwork. If you’re eager to work on cutting-edge tech and shape the future of enterprise AI, you’ll feel right at home here. Role: Senior Associate Location: Onsite – Mumbai, India We are seeking an AI Consultant who combines strategic insight with hands-on delivery expertise. This role is focused on helping clients adopt AI responsibly and effectively, while also overseeing the delivery and governance of AI projects. The ideal candidate brings a balance of business acumen, AI knowledge, and consulting skills, ensuring that AI solutions generate real value, are ethically governed, and are successfully scaled within organizations. Key Responsibilities AI Adoption & Transformation Guide clients through their AI adoption journey: awareness, discovery, pilots, scaling, and optimization. Assess organizational readiness across people, processes, technology, and data. Drive change management initiatives to enable smooth adoption and long-term impact. Consulting & Advisory Lead end-to-end AI consulting assignments, from opportunity assessment to delivery oversight. Translate business priorities into AI strategies, use cases, and roadmaps with clear ROI. Deliver structured consulting outputs such as diagnostic reports, adoption frameworks, and implementation blueprints. AI Project Delivery & Governance Oversee AI project development, ensuring solutions are delivered on time, within budget, and aligned to business outcomes. Establish and monitor governance frameworks covering ethics, compliance, model performance, and lifecycle management. Collaborate with technical teams (data scientists, engineers, product owners) to bridge business requirements with technical execution. Define success metrics and ensure projects deliver measurable business value. Vendor & Client Relationship Management Manage relationships with technology vendors, AI platforms, and service providers to ensure solution quality and alignment with client goals. Build strong, trusted partnerships with client stakeholders, from C-level executives to operational leaders. Act as the primary liaison between clients and delivery teams, ensuring transparency and effective communication. Business Development Contribute to proposals, pitches, and go-to-market activities for AI consulting and adoption services. Identify opportunities to expand AI adoption programs within existing accounts. Develop internal IP, frameworks, and playbooks to accelerate delivery and scale consulting impact. Research & Thought Leadership Stay current with AI advancements, governance standards, and industry adoption models. Publish thought leadership and represent the firm at industry forums, webinars, and client workshops. Shape internal perspectives on responsible AI adoption and governance. Key Qualifications Education & Background Bachelor’s or Master’s in Business, Computer Science, Engineering, Data Science, or related field. 5–10 years of experience in consulting, digital transformation, or AI strategy/delivery roles. AI & Technical Expertise Strong knowledge of AI technologies (GenAI, ML, NLP, CV, automation) and their enterprise applications. Familiarity with cloud platforms (AWS, Azure, GCP) and AI ecosystems. Experience in AI solution delivery, project governance, and lifecycle management. Consulting & Business Skills Proven ability to deliver complex consulting assignments with measurable outcomes. Strong analytical, problem-solving, and business storytelling capabilities. Experience working with C-level executives and multi-stakeholder environments. Vendor & Client Management Experience managing vendor relationships, negotiating contracts, and ensuring alignment of deliverables. Strong client relationship management skills with a focus on trust and long-term value creation. Business Development Ability to support sales pursuits, proposals, and pitches with a focus on AI adoption and delivery. Experience positioning AI as a driver of competitive advantage. Soft Skills Excellent communication and facilitation skills. Strong organizational and project management abilities. Entrepreneurial mindset with curiosity, adaptability, and a passion for AI adoption. Good to Have Prior experience in client-facing strategy consulting, especially in top-tier consulting firms or digital transformation practices. Strong technical development background (e.g., experience in building AI/ML models, data pipelines, or AI-enabled applications). Experience in helping build or scale a growth-stage startup, ideally in the AI, SaaS, or digital transformation space. Exposure to AI governance frameworks and responsible AI practices. Ability to contribute to thought leadership through published work, events, or community engagement. What We Offer Opportunity to shape and deliver AI adoption journeys across industries. Hands-on involvement in both strategic advisory and project delivery governance. Exposure to global clients and diverse industry use cases. A collaborative environment with continuous learning and access to the latest AI tools and research.
Job Title: Global Finance & Compliance Coordinator 📍 Location: Mumbai | Full-Time | Onsite About Network Science At Network Science , we are building the Operating System for the Enterprise AI World — with presence across London, Mumbai, Dubai, and the US. As we scale globally, we’re also building the backbone of strong financial governance, international compliance, and operational excellence. We’re looking for a Global Finance & Compliance Coordinator to be the central brain behind our multi-entity finance operations . This isn’t a back-office role — it’s an opportunity to be embedded in the core of how a global deep tech company runs and scales compliantly. What You’ll OwnCustomer Billing & Collections (UK + Global Clients) Maintain trackers for contracts, billing cycles, and collection schedules Coordinate with delivery teams before raising invoices Prepare, review, and issue timely invoices across entities Track receivables and follow up on overdue payments Escalate collection delays to the senior finance team Vendor Payments & Expense Management Record vendor invoices and internal expenses in the accounting system Ensure approvals are in place before booking expenses Track payment timelines and process disbursements Reconcile vendor accounts and maintain accurate ledgers Banking & Reconciliation Monitor daily bank transactions across multiple entities Support regular bank reconciliations Assist with customer/vendor reconciliations and payment tracking Audit, Tax & Statutory Compliance Support Maintain well-organized filing of vouchers, invoices, and compliance documents Prepare reports and working papers for audit and taxation purposes Share data with consultants for GST, TDS, VAT, and other statutory filings Work closely with external CA/tax/legal consultants in UK, India, UAE & US Global Entity Coordination & Risk Management Maintain a central compliance tracker across all global entities (UK, India, US, UAE) Track timelines for statutory filings, renewals, insurance, data protection, employment regulations , etc. Coordinate with external consultants for corporate filings, license renewals, and regulatory updates Escalate potential non-compliance or risks to leadership Administrative Coordination & Documentation Act as the central point for global admin tasks — contracts, policies, insurance, vendor onboarding Maintain a structured filing system for all legal, tax, and compliance documents Ensure all internal stakeholders are updated with latest contract statuses and entity documentation What We’re Looking For 3–5 years of experience in accounting, finance operations, or compliance roles Experience managing multi-entity finance coordination (especially UK or global experience) Working knowledge of GST, TDS, UK VAT, bank reconciliations , and accounting systems Strong communication and follow-up skills (you’ll be speaking to vendors, clients, consultants) Proactive mindset and high ownership — someone who solves problems, not just reports them Comfortable using spreadsheets, trackers, accounting software, and cloud-based tools Bonus: Familiarity with compliance frameworks like GDPR, Companies Act, SOC2 Why This Role Matters This role goes beyond bookkeeping. You’ll be orchestrating finance and compliance across four countries and acting as a force multiplier for scale. As we grow, so will your exposure — across global tax law, internal controls, investor reporting, and board compliance. You’ll work directly with the CFO, business team, and legal advisors — ensuring we stay fast, compliant, and fund-ready.
Cloud Architect - Enterprise AI Platforms Location: Mumbai | Onsite | Full-Time About Network Science At Network Science, we’re not just deploying AI — we’re building the Operating System for the Enterprise AI World. Our mission is to help global enterprises adopt, scale, and operationalize AI with precision, velocity, and measurable ROI. To power this vision, we are seeking a Cloud Architect who can design, optimize, and future-proof our cloud-native infrastructure across multiple AI product lines — from GenAI co-pilots to multi-tenant SaaS platforms. What You’ll Do As Cloud Architect, you’ll be responsible for leading the design, deployment, and governance of all cloud infrastructure supporting our global product suite. You’ll work closely with engineering, DevOps, data, and AI teams to ensure our infrastructure is secure, scalable, cost-optimized, and always production-ready. Core Responsibilities: Architect and manage scalable, secure, and high-performance cloud environments (AWS/GCP/Azure) for AI-powered SaaS platforms Define and enforce cloud architecture best practices, standards, and frameworks for multi-region deployments Collaborate with engineering teams to build and scale microservices, containers, and serverless systems Oversee cloud security controls, IAM, encryption strategies, and compliance with frameworks like SOC2, ISO 27001, and GDPR Design and optimize network architecture, VPC peering, VPNs, and load balancing strategies Work with DevOps teams to implement CI/CD pipelines, observability tools, and auto-scaling mechanisms Lead cloud cost optimization efforts — balancing performance with budget Set up and manage backup, DR, failover, and high-availability strategies Provide technical leadership, mentoring, and architecture governance to cross-functional teams Stay ahead of emerging trends in cloud-native tools, AI infrastructure, and edge compute Must-Have Qualifications 7–10 years of experience in cloud architecture, with proven delivery in SaaS or AI/ML product environments Deep expertise in AWS, with working knowledge of GCP or Azure Strong command over Kubernetes, Docker, Terraform/CloudFormation, and CI/CD automation Advanced understanding of cloud networking, storage, security, and IAM policies Experience with multi-tenant architecture, container orchestration, and API gateways Knowledge of AI/ML infrastructure needs, GPU provisioning, and hybrid training/inference workloads Ability to communicate complex concepts clearly and influence senior stakeholders Bachelor's or Master’s in Computer Science, Information Systems, or related field Cloud certifications (e.g., AWS Certified Solutions Architect – Professional) are a strong plus Preferred Qualifications Experience with multi-cloud or hybrid cloud strategy Exposure to LLM infrastructure or deploying ML inference pipelines at scale Familiarity with cloud-native databases (DynamoDB, BigQuery, Snowflake) Experience with monitoring and observability tools (Prometheus, Grafana, Datadog, etc.) Strong understanding of cloud compliance and audit readiness Prior experience in startup or high-growth environments with high deployment velocity Passion for automation, clean documentation, and platform thinking Why This Role Matters As Cloud Architect at Network Science, you will be building the invisible infrastructure that powers our AI innovation engine. You will not just support deployments — you will enable transformation for some of the world’s leading enterprises. This is your opportunity to build systems that are mission-critical, globally scalable, and AI-native by design.
Database Architect – AI Platform Engineering Location: Mumbai | Onsite | Full-Time About Network Science At Network Science, we enable enterprises to unlock the full power of AI — to innovate faster, scale smarter, and lead confidently in a world that’s changing by the minute. Our approach is simple: ✅ Speed in execution ✅ Simplicity in design ✅ Co-creation with purpose We are building the Operating System for the Enterprise AI World, and we’re looking for a Database Architect who thrives on complexity, precision, and scale. What You’ll Do As a Database Architect, you’ll be the backbone of our AI platform’s data layer — ensuring that data integrity, availability, and scalability are baked into everything we build. Your role is mission-critical in enabling high-performance applications, seamless ML integrations, and secure global deployments. Key Responsibilities: Design, develop, and optimize enterprise-grade databases for AI-enabled platforms and SaaS products Build scalable, secure, and high-performance data architectures using relational and NoSQL technologies Collaborate with product, AI, and engineering teams to translate use cases into data models and pipelines Own and optimize ETL workflows, ensuring fast, reliable movement of data between systems Implement data governance, security, and backup strategies across environments Ensure real-time and batch processing readiness for AI applications Support data access layers, caching strategies, and indexing policies for API performance Troubleshoot database bottlenecks and drive tuning/optimization initiatives Help define and enforce data architecture standards and documentation Must-Have Qualifications 5+ years of experience in database design, architecture, and administration Deep expertise in SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB) Strong experience with ETL processes and data pipeline design Solid understanding of data modeling, normalization/denormalization, and schema design Proficiency in performance tuning, indexing strategies, and query optimization Familiarity with cloud-native databases and AWS RDS / Aurora / DynamoDB / GCP Firestore Strong collaboration and communication skills — you’ll work across functions and geographies Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field Preferred (Good-to-Have) Skills Experience with data warehousing tools like Redshift, BigQuery, or Snowflake Exposure to data lakes, streaming data, and Kafka Familiarity with ML model pipelines and data requirements for training/inference Experience with GraphQL, REST APIs, and caching layers like Redis Understanding of data compliance & governance frameworks (GDPR, HIPAA, etc.) Certifications in database technologies (AWS, Google Cloud, Microsoft SQL, etc.) Why Join Us? At Network Science, you won’t just be building tables and indexes — You’ll be laying the foundation for global AI acceleration. You’ll work with a team of world-class engineers, AI scientists, and product thinkers who are building real-world platforms that solve real-world problems. And yes — you’ll ship fast, iterate faster, and always stay ahead of the curve.
Role Overview: At Network Science, you will play a crucial role as a Database Architect in the AI Platform Engineering team. Your main responsibility will be to ensure the integrity, availability, and scalability of data on our AI platforms and SaaS products. By designing and optimizing enterprise-grade databases, you will contribute significantly to the success of our high-performance applications and secure global deployments. Key Responsibilities: - Design, develop, and optimize databases for AI-enabled platforms and SaaS products - Build scalable, secure, and high-performance data architectures using relational and NoSQL technologies - Collaborate with product, AI, and engineering teams to translate use cases into data models and pipelines - Own and optimize ETL workflows for efficient data movement - Implement data governance, security, and backup strategies - Ensure readiness for real-time and batch processing for AI applications - Support data access layers, caching strategies, and indexing policies for API performance - Troubleshoot database bottlenecks and drive optimization initiatives - Define and enforce data architecture standards and documentation Qualification Required: - 5+ years of experience in database design, architecture, and administration - Deep expertise in SQL and NoSQL databases such as PostgreSQL, MySQL, and MongoDB - Strong experience with ETL processes and data pipeline design - Solid understanding of data modeling, normalization/denormalization, and schema design - Proficiency in performance tuning, indexing strategies, and query optimization - Familiarity with cloud-native databases like AWS RDS, Aurora, DynamoDB, and GCP Firestore - Strong collaboration and communication skills across functions and geographies - Bachelors or Masters degree in Computer Science, Information Systems, or related field Additional Company Details: At Network Science, you will be part of a team that is successfully building the Operating System for the Enterprise AI World. You will collaborate with world-class engineers, AI scientists, and product thinkers to create real-world platforms that solve real-world problems. Expect to work in a fast-paced environment where innovation and iteration are key to staying ahead of the curve.,
Network Science is a London based AI consulting company on a mission to AIfy businesses. We help leading organizations unlock genuine business value through intelligent automation and productivity tools. Our team is made up of hands-on problem solvers who take pride in ownership, curiosity, and teamwork. If you’re eager to work on cutting-edge tech and shape the future of enterprise AI, you’ll feel right at home here. Role: AI Solutions Architect Location: Onsite – Mumbai, India AI Solution Architect Functional Expertise: - Design end-to-end AI solutions for enterprise customers - Create reference architectures for common use cases: NSOffice.ai (AI agents, RAG systems, fine-tuning pipelines, multi-modal applications) - Define integration patterns between our AI Gateway and customer systems (CRM, ERP, data warehouses, internal APIs) - Architect multi-model orchestration strategies that optimize for cost, performance, accuracy, and compliance - Design data pipelines between AI gateway and Enterprise customers Technical Expertise: - Experience building AI agents, multi-agent systems, and agentic workflows - Strong knowledge of prompt engineering, fine-tuning, embeddings, and RAG - Deep understanding of LLMs - architecture, capabilities, limitations, and best practices - Knowledge of AI safety, bias mitigation, and responsible AI principles - Hands-on experience with major AI providers: OpenAI (GPT-4+), Anthropic (Claude), Google (Gemini), AWS Bedrock - Understanding of model evaluation metrics and performance optimization Other Requirements: - 4+ years in solution architecture - 2+ years specifically in AI/ML solutions and implementations - Proven track record of delivering complex technical projects - Education: CS (BE / BTech / MS) with Data & AI specialisation What We Offer Opportunity to shape and deliver AI adoption journeys across industries. Hands-on involvement in both strategic advisory and project delivery governance. Exposure to global clients and diverse industry use cases. A collaborative environment with continuous learning and access to the latest AI tools and research.
Company Description At Network Science, we specialize in AI-ification of Enterprises, enabling businesses to harness the full potential of AI to innovate, scale, and lead in their industries. Our approach combines speed, simplicity, and co-creation to deliver transformative results that are right the first time. We believe in thinking big and acting fast, with proven methodologies and cutting-edge solutions to accelerate AI adoption at scale. Our simplified approach ensures clear strategies, intuitive solutions, and seamless implementation. We co-create with our clients to align AI solutions with their unique goals, fostering innovation and ownership at every step. Role Description This is a full-time, on-site role for a Database Architect located in Mumbai. The Database Architect will be responsible for designing, implementing, and maintaining database systems. Day-to-day tasks include database administration, data modeling, and database design. The role also involves developing and implementing data architecture and Extract Transform Load (ETL) processes to ensure efficient data management and integration. Qualifications Experience in Database Administration, Data Modeling, and Database Design Proficient in Data Architecture and Extract Transform Load (ETL) processes Strong analytical and problem-solving skills Excellent communication and collaboration abilities Bachelor's degree in Computer Science, Information Technology, or a related field Experience with AI and data-driven projects is a plus
Network Science is a London based AI consulting company on a mission to AIfy businesses. We help leading organizations unlock genuine business value through intelligent automation and productivity tools. Our team is made up of hands-on problem solvers who take pride in ownership, curiosity, and teamwork. If you're eager to work on cutting-edge tech and shape the future of enterprise AI, you'll feel right at home here. Role:AI Solutions Architect Location:Onsite Mumbai, India AI Solution Architect Functional Expertise: - Design end-to-end AI solutions for enterprise customers - Create reference architectures for common use cases: NSOffice.ai (AI agents, RAG systems, fine-tuning pipelines, multi-modal applications) - Define integration patterns between our AI Gateway and customer systems (CRM, ERP, data warehouses, internal APIs) - Architect multi-model orchestration strategies that optimize for cost, performance, accuracy, and compliance - Design data pipelines between AI gateway and Enterprise customers Technical Expertise: - Experience building AI agents, multi-agent systems, and agentic workflows - Strong knowledge of prompt engineering, fine-tuning, embeddings, and RAG - Deep understanding of LLMs - architecture, capabilities, limitations, and best practices - Knowledge of AI safety, bias mitigation, and responsible AI principles - Hands-on experience with major AI providers: OpenAI (GPT-4+), Anthropic (Claude), Google (Gemini), AWS Bedrock - Understanding of model evaluation metrics and performance optimization Other Requirements: - 4+ years in solution architecture - 2+ years specifically in AI/ML solutions and implementations - Proven track record of delivering complex technical projects - Education: CS (BE / BTech / MS) with Data & AI specialisation What We Offer Opportunity to shape and deliver AI adoption journeys across industries. Hands-on involvement in both strategic advisory and project delivery governance. Exposure to global clients and diverse industry use cases. A collaborative environment with continuous learning and access to the latest AI tools and research.
Company Description At Network Science, we specialize in enabling businesses to harness the full potential of AI to innovate, scale, and lead in their industries. Our approach combines speed, simplicity, and co-creation to deliver transformative results. We believe in thinking big and acting fast, with proven methodologies and cutting-edge solutions that accelerate AI adoption. Our co-creation model ensures that every AI solution aligns with your unique goals and challenges, fostering innovation and ownership. Job Title: Back end Developer/Engineer with full-stack exposure (React/Next.js optional) Location: Mumbai Full-time | 2+ Years Experience Required | Hustle Required At Network Science, we're not building features — we're building the Operating System for the Enterprise AI World. You'll be architecting systems that handle massive scale while maintaining bank-level security. What You'll Build Core Platform Development Multi-tenant SaaS architecture with per-client data isolation across AWS regions AI Gateway that brokers access to OpenAI, Google Gemini, FLUX, Imagen APIs Real-time collaboration features with OneDrive integration and enterprise memory Enterprise security systems supporting SOC 2, GDPR, CCPA compliance Enterprise Infrastructure AWS multi-account architecture (Dev/Test/Prod) with auto-scaling ECS/EKS MongoDB Atlas clusters with regional data isolation and encryption S3 per-client buckets with KMS encryption and compliance controls Authentication systems with AWS Cognito, SSO, and enterprise identity integration Your Technical Arsenal Backend (Node.js/Express Preferred) Node.js + Express or Python (Django/FastAPI) for scalable APIs Multi-tenant architecture with client isolation and data segregation JWT/OAuth authentication with enterprise SSO integration RESTful/GraphQL APIs designed for enterprise scale and security Database & Storage MongoDB Atlas multi-region clusters with per-client database isolation AWS S3 bucket management with regional compliance requirements Redis for caching and session management across distributed systems Data encryption at rest and in transit using AWS KMS AI/ML Integration (Critical) Multiple AI API integration: OpenAI (GPT-4.1, GPT-4o), Google Gemini, FLUX, Imagen AI Gateway architecture with rate limiting, cost optimization, and failover Prompt engineering and AI response processing for enterprise use cases Usage tracking and billing for AI API consumption across clients Enterprise DevOps AWS infrastructure: ECS/EKS, ALB, API Gateway, CloudFront, VPC Multi-environment deployment (Dev/Test/Prod) with CI/CD pipelines Docker containerization and orchestration for microservices Monitoring & observability with CloudWatch, X-Ray, and distributed tracing Security & Compliance Enterprise security patterns: Zero-trust architecture, encryption, audit logging Compliance frameworks: SOC 2, GDPR, CCPA implementation Multi-tenant security with client data isolation and access controls Performance optimization for concurrent enterprise users Experience Requirements Must Have (2+ Years) Production full-stack development with React/Next.js and Node.js/Express (or Python) Cloud infrastructure experience (AWS preferred) with containerization and deployment Database management with both SQL and NoSQL systems in production API development and integration with third-party services and authentication systems Version control and collaboration using Git in team environments Highly Preferred Multi-tenant SaaS applications with client data isolation and security AI/ML API integration experience with OpenAI, Google, or similar providers Enterprise software development with compliance and security requirements AWS services including ECS/EKS, S3, RDS, Lambda, API Gateway Real-time applications with WebSocket or similar technologies You're Perfect If You... Technical Builder Mindset Have built production applications that real users depend on Understand enterprise software requirements (security, compliance, scale) Can architect multi-tenant systems with proper data isolation Have experience with cloud infrastructure (AWS preferred) and DevOps practices AI-First Developer Have integrated multiple AI APIs in production applications Understand AI cost optimization and rate limiting strategies Can build intelligent user experiences with AI-powered features Excited about building the next generation of enterprise AI tools Enterprise-Ready Mindset Care about security, compliance, and audit trails Can handle complex business logic and enterprise workflows Think about scalability from day one — not as an afterthought Want to build systems that Fortune 500 companies will trust with their data Hustle & Growth Ready to own end-to-end features in a fast-paced startup environment Can iterate rapidly while maintaining high code quality Learn quickly and adapt to new technologies and business requirements Want to be part of something that changes how enterprises work with AI Massive Bonus Points For SaaS platform experience: Multi-tenant architecture, billing systems, enterprise onboarding Enterprise security: SOC 2 compliance, encryption at scale, audit logging Real-time systems: WebSocket implementations, collaborative features, live updates AI/ML production experience: LLM integration, prompt optimization, AI cost management AWS expertise: ECS/EKS, multi-account organizations, compliance configurations What You Get Technical Opportunity Build from scratch with modern tech stack and enterprise best practices Work directly with founders and shape product and technical decisions Own major features that will be used by thousands of enterprise users Learn enterprise AI at scale with cutting-edge tools and technologies Mission & Impact Transform how enterprises use AI across communication and content creation Build the platform that will power the next generation of AI-driven businesses Work on problems that matter — security, compliance, scale, user experience Join the founding team of what could become India's leading enterprise AI platform The Reality Check This isn't a 9-to-5 job. This is your chance to build something extraordinary. You'll be thrown into complex enterprise problems. You'll build fast and iterate constantly. You'll own features end-to-end from database design to user interface. But you'll also be part of something unforgettable — building the platform that enterprises will depend on for their AI transformation. Ready to build the future of enterprise AI? Apply now with: Your resume highlighting relevant experience (minimum 2+ years full-stack development) GitHub profile with your best work Brief note on why you want to build enterprise AI tools We're looking for exceptional developers with proven experience to join our founding team. If you're ready to hustle and build something extraordinary, let's talk
Role Overview: As a dynamic Presales and Solutioning Associate in the AI space, your role will involve bridging the gap between sales teams, tech teams, and clients. Your contribution will be pivotal in ensuring the seamless integration of AI solutions into client operations, directly impacting our growth and market expansion strategies. Key Responsibilities: - Collaborate with sales teams to understand client requirements and craft tailored AI solutions. - Assist in creating compelling proposals, presentations, and demos showcasing the value of AI solutions to potential clients. - Work closely with partner tech teams to translate client needs into actionable technical requirements and solution designs. - Act as a primary point of contact for clients during presales activities, addressing queries and providing technical insights. - Contribute to the development and execution of strategic initiatives aimed at expanding AI solution accelerators. - Liaise effectively with internal teams to ensure coordinated efforts in delivering solutions and provide support to achieve collective goals. - Provide the latest AI tech trends and direction to the larger team. Qualifications: - Bachelor's degree in computer science, Engineering, and a Post Graduation in Business Administration, or a related field. - Strong understanding of AI technologies, applications, and market trends. - Excellent communication skills to articulate complex technical concepts to non-technical stakeholders. - Ability to work under pressure, adapt to changing priorities, thrive in a fast-paced environment, and meet deadlines. - Team player with a proactive mindset, strong commitment to quality and client satisfaction. - Proficiency in office software and communication tools. - Exceptional organizational and time-management skills.,